- ❤️ AI | MLOps | GenAI | LLMOps | Strategy
- 🧠 Microsoft MVP | PyLadies Amsterdam Org | AI4ALL Advisory Board member
- PyLadies Amsterdam stand at PyData Amsterdam Conference - 25-26 September 2025
- Hidden Figures of Python: Pypodcats podcast recording - Soon
- Agentic AI Roundtable - Technical roundtable discussion participant - 09 July 2025
- Choose Your Own Workshop at DCND 2025 - Workshops of choice at Dutch Cloud Native Day - 03 July 2025
- AI in Finance 2025 - Python hands-on lecture at UVA - 21 May 2025
- Metrics and early traction for startups - Workshop for AI4ALL Women Entrepreneur Program - 05 May 2025
- Evaluating LLM-based applications - Workshop at PyLadies Hamburg/Amsterdam - 16 January 2025
- PyLadies Entrepreneurs and Career Development - Panel discussion at PyLadiesCon - 07 December 2024
- Think like a Data scientist - Roundtables leader at AI at Work Reshaping Work Conference - 24 October 2024
- 5 ways to fail scaling MLOps and Responsible AI within your organisation - Talk at Women+ in Data and AI Festival Berlin - 27 September 2024
- PyLadies Amsterdam stand at PyData Amsterdam Conference - 19-20 September 2024
- LLM Application Evaluation: Performance, Safety, and Compliance - Technical panel discussion at Microsoft - 02 September 2024
- AI MVP Prototype Development - Workshop at WAI Accelerate - 23 August 2024
- Data Mesh: Theory vs reality - Coffee With Coalesce Podcast - 14 August 2024
- PyLadies stand at EuroPython Prague Conference - 10-12 July 2024
- GenAI Leap of faith from PoC to Production - Talk at European Women in Technology Conference- 26 June 2024
- AI Innovators: Harnessing Emerging Technologies for Business Evolution - Roundtable leader at The Next Web Conference - 20 June 2024
- AI in Finance 2024 - Python hands-on lecture at UVA - 21 May 2024
- Combining the Technical and Business Perspectives for Data Mesh - Data Mesh Radio Podcast - 20 May 2024
- Responsible AI Evening - Technical panel discussion at Microsoft - 28 February 2024
- The real value of data products and costs of building and maintaining them - Talk at Data Special Further Forward - 21 February 2024
- 5 ways to fail with time series - Talk at PyData Eindhoven Conference- 30 November 2023
- Practical Data Privacy - GOTO Book Club - 16 November 2023
- Will AI take over any tech jobs in the future? - Workshop at LeWagon - 12 October 2023
- Data Contracts in action powered by Python open source ecosystem - Talk at PyData Amsterdam Conference- 16 September 2023
- PyLadies Amsterdam stand at PyData Amsterdam Conference - 14-16 September 2023
- Mentor for PyData Amsterdam Conference first-time speakers - 31 July 2023
- Exploring the Frontiers of Generative AI - Technical Panel Discussion at Global AI Generate - 12 June 2023
- AI in Finance 2023 - Python hands-on lecture at UVA - 23 May 2023
- ML Best Practices - Talk at Thoughtworks - 22 December 2022
- An Introduction to Model Drift - Workshop at PyLadies Amsterdam - 21 December 2022
- Data Mesh: Unlocking data insights at scale responsibly - Talk at Royal HaskoningDHV - 28 October 2022
- Mentor at Django Girls Amsterdam - 16 September 2022
- Journey to the cloud: Best practices for Data and AI scaling within Enterprise - Talk at Big Data Expo Conference - 14 September 2022
- AI in Finance 2022 - Python hands-on lecture at UVA - 23 May 2022
- Start using Data Models: Outsmart your financial industry competitors today - Panel Discussion at Studio LinkIT - 26 April 2022
- We build a ML pipeline after we deploy - Talk at EuroPython Conference - 04 October 2021
- Bringing ML Models into Production Bootcamp - Capstone results - 07 August 2021
- Bringing ML Models into Production Bootcamp - Lesson 4 - 21 July 2021
- Bringing ML Models into Production Bootcamp - Lesson 3 - 14 July 2021
- Bringing ML Models into Production Bootcamp - Lesson 2 - 07 July 2021
- Bringing ML Models into Production Bootcamp - Lesson 1 - 30 June 2021
- The Hitchhiker's Guide to the Machine Learning Engineering Galaxy - Talk at Virtual Roadtrip DeFrost your Data - 20 April 2021
- Technical panel discussion at pre-FOSDEM - 03 February 2021
- AI in Finance: On the way to financial singularity - Talk at ABN AMRO Digital Grid - 19 November 2020
- The Hitchhiker's Guide to the Machine Learning Engineering Galaxy - Workshop at MLConfEU - 05 November 2020
- Jury for WAI Datathon - 12 October 2020
- Human-like Visual Search Application with Small Data - Workshop at PyData Global Conference - 08 September 2020
- Jupyter Refactoring Workshop - Workshop at PyLadies Amsterdam - 29 July 2020
- Jupyter Notebook Refactoring Series — Part 2 - Technical article for ITNEXT - 30 June 2020
- Reducing production waste with streaming analytics - Talk at Real Time Data Streaming Ontbijtsessie - 08 June 2020
- Jupyter Notebook Refactoring Series — Part 1 - Technical article for ITNEXT - 12 May 2020
- AI Applied: How to stop wildfires through flame and smoke detection - Technical summary of the Real-world AI challenge - 10 February 2020
- PyLadies Amsterdam stand at Amsterdam WIT Regatta Conference - 28 October - 01 November 2019
- Deepdive: Debiasing AI - Panel discussion at Amsterdam WIT Regatta Conference - 30 October 2019
- BedTalks on Tech: why the world needs more WIT - Panel discussion at The Next Web Conference - 09-10 May 2019
- The undeniable bias in AI - Technical panel discussion at WiT Regatta March Pop-Up - 21 March 2019
- The story of bleeding-edge technologies - Technical panel discussion at WiT Regatta February Pop-Up - 12 February 2019
- Data science that ships: production-ready pipelines with Kedro - 26 August 2025
- ScaleDown: Optimize AI prompts to reduce verbosity and carbon footprint - 26 June 2025
- Dapr in Action: From Core Concepts to AI Agents - 27 May 2025
- Open source, open pipelines: Data ingestion with modern data stack - 29 April 2025
- Introduction to BDD in Python - 31 March 2025
- Global AI Bootcamp - 04 March 2025
- Evaluating LLM-based applications - 16 January 2025
- AI in action: From ML models to games - 15 July 2025
- Introduction to Data Storytelling - 07 December 2024
- LLMs in Action: How Booking.com Scans, Detects, & Monitors Fake & Unsafe Content - 20 November 2024
- What's inside the box? An introduction to explainability in finance - 22 October 2024
- Build a Data Science Portfolio that Gets You Noticed - 27 August 2024
- LLM Guardrails - 24 July 2024
- Introduction to LLM Agents with LangChain - 25 June 2024
- NLP projects with spaCy - 29 May 2024
- An Introduction to RAG with Elastic - 23 April 2024
- Global AI Bootcamp - 27 March 2024
- Python Open Source Sprints - 23 March 2024
- Fine-tuning text-to-image diffusion models for personalization and more - 29 February 2024
- An introduction to conformal prediction - 25 January 2024
- Privacy-Aware Machine Learning and Data Science - 28 November 2023
- An introduction to geodata in Python - 25 October 2023
- Getting started with Large Language Models - 25 October 2023
- Time series forecasting for business - 26 September 2023
- Storytelling Mindset: Transforming Tech Careers By Crafting Powerful Connections - 30 August 2023
- An Introduction to Pyro - 30 May 2023
- Federated Machine Learning with Flower: Packaging, Monitoring, Securing- 10 May 2023
- An introduction to Data Science using Snowflake - 25 April 2023
- Global AI Bootcamp - 02 March 2023
- 101 Django Rest Framework - 25 January 2023
- Careers with Python: Volume 2 - 20 June 2023
- PyLadies Amsterdam + MLOps.Community Meetup - 23 February 2023
- An Introduction to Model Drift - 21 December 2022
- Deep Learning with PyTorch - 30 November 2022
- Global AI Developer Days - 31 October 2022
- An introduction to cloud-native web applications - 17 August 2022
- Python 101 - 26 July 2022
- A Deep Dive into Containerized Model Serving with FastAPI - 28 June 2022
- An Introduction to Graph Databases with GQLAlchemy and Python - 29 March 2022
- A Deep Dive into Fairness in Machine Learning - 23 February 2022
- Global AI Bootcamp - 15 January 2022
- Careers with Python: Volume 1 - 19 April 2022
- An Introduction to Communicating about your Models - 16 December 2021
- An Introduction to Fairness in Machine Learning using Fairlearn - 24 November 2021
- Global AI Back Together - 20 October 2021
- An Introduction to Product List Sorting - 29 September 2021
- Bringing ML Models into Production Bootcamp - Capstone results - 07 August 2021
- Bringing ML Models into Production Bootcamp - Lesson 4 - 21 July 2021
- Bringing ML Models into Production Bootcamp - Lesson 3 - 14 July 2021
- Bringing ML Models into Production Bootcamp - Lesson 2 - 07 July 2021
- Bringing ML Models into Production Bootcamp - Lesson 1 - 30 June 2021
- An introduction to Web Scraping with Python and Azure Functions - 26 May 2021
- Easy Fairish: Basics of Classification and Bias - 21 April 2021
- An introduction to delivering technical presentations with confidence - 25 March 2021
- An introduction to FOSS contributions - 27 January 2021
- Careers with Python: Volume 0 - 24 February 2021
- Introduction to NLP - 25 November 2020
- Introduction to TF-Hub & Object Detection using TF-Hub - 22 October 2020
- Data Interpretation evening - 30 September 2020
- Interactive Data Visualisation with Bokeh - 26 August 2020
- Jupyter Refactoring Workshop - 29 July 2020
- Python Bootcamp Data Analysis for Beginners - Capstone - 03 June 2020
- Python Bootcamp Data Analysis for Beginners - Lesson 4 - 27 May 2020
- Python Bootcamp Data Analysis for Beginners - Lesson 3 - 13 May 2020
- Python Bootcamp Data Analysis for Beginners - Lesson 2 - 06 May 2020
- Python Bootcamp Data Analysis for Beginners - Lesson 1 - 29 April 2020
- The Right Way To Do Azure Functions in Python - 31 March 2020
- Object-oriented programming in data science - 25 February 2020
- A Deep Dive into OOP - 23 January 2020
- aggregate(PyLadies, PyAmsterdam, ETL).byebye(2020) - 22 December 2020
- A Deep Dive into Advanced Pandas - 28 November 2019
- An introduction to PySpark - 28 November 2019
- An introduction to Git, GitHub and Python virtual environments - 12 November 2019
- An introduction to Flask: Create a web app and host it in the cloud - 23 October 2019
- Visualize data with Seaborn & Matplotlib - 24 September 2019
- Test Test Test - 22 August 2019
- NLP in practice - From bank transactions to non-profit organizations - 11 December 2019